Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population

Abstract Background The multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore’s adult resident population. Methods Using pooled data from three earlier studies (n =...

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Main Authors: Janhavi Ajit Vaingankar, Edimansyah Abdin, Robertus Martinus van Dam, Siow Ann Chong, Linda Wei Lin Tan, Rajeswari Sambasivam, Esmond Seow, Boon Yiang Chua, Hwee Lin Wee, Wei Yen Lim, Mythily Subramaniam
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-020-08569-w
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author Janhavi Ajit Vaingankar
Edimansyah Abdin
Robertus Martinus van Dam
Siow Ann Chong
Linda Wei Lin Tan
Rajeswari Sambasivam
Esmond Seow
Boon Yiang Chua
Hwee Lin Wee
Wei Yen Lim
Mythily Subramaniam
author_facet Janhavi Ajit Vaingankar
Edimansyah Abdin
Robertus Martinus van Dam
Siow Ann Chong
Linda Wei Lin Tan
Rajeswari Sambasivam
Esmond Seow
Boon Yiang Chua
Hwee Lin Wee
Wei Yen Lim
Mythily Subramaniam
author_sort Janhavi Ajit Vaingankar
collection DOAJ
description Abstract Background The multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore’s adult resident population. Methods Using pooled data from three earlier studies (n = 1050), PMHI items were reduced by Partial Credit Rasch Model (PCRM) runs in a random split-half sample, while psychometric properties of the resulting measure were tested through confirmatory factor analysis (CFA), item response theory-graded response model and internal consistency reliability in the other half. Its reliability, construct and concurrent validity, agreement with the original scale, floor and ceiling effect, and scale estimates were further investigated in an external representative general population sample (n = 1925). Results The average age of the participants was around 41 years. Four PCRM re-runs for item selection resulted in a 6-item unidimensional Rapid PMHI (R-PMHI). CFA confirmed the unidimensional structure of the R-PMHI in the internal (RMSEA = 0.075, CFI = 0.985, TLI = 0.974) and external (RMSEA = 0.051, CFI = 0.992, TLI = 0.987) validation samples. In the external validation sample, the R-PMHI met concurrent validity criteria, showing high agreement with the 47-item version with intra-class correlation coefficient of 0.872 (95% CI: 0.861 to 0.882) and low floor and ceiling effects. Weight-adjusted mean (SE, 95% CI) R-PMHI score in the population was 4.86 (0.2, 4.82–4.90). Conclusion The unidimensional 6-item R-PMHI offers brevity over the original multidimensional measure while appropriately representing the positive mental health construct. Prospective studies are needed to assess its responsiveness and test-retest reliability.
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spelling doaj.art-414b2f7d33594d16ae91b0045bbca48b2022-12-21T19:49:25ZengBMCBMC Public Health1471-24582020-04-0120111210.1186/s12889-020-08569-wDevelopment and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the populationJanhavi Ajit Vaingankar0Edimansyah Abdin1Robertus Martinus van Dam2Siow Ann Chong3Linda Wei Lin Tan4Rajeswari Sambasivam5Esmond Seow6Boon Yiang Chua7Hwee Lin Wee8Wei Yen Lim9Mythily Subramaniam10Research Division, Institute of Mental HealthResearch Division, Institute of Mental HealthDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health SystemResearch Division, Institute of Mental HealthDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health SystemResearch Division, Institute of Mental HealthResearch Division, Institute of Mental HealthResearch Division, Institute of Mental HealthDepartment of Medicine, Saw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health SystemDepartment of Clinical Epidemiology, Tan Tock Seng HospitalResearch Division, Institute of Mental HealthAbstract Background The multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore’s adult resident population. Methods Using pooled data from three earlier studies (n = 1050), PMHI items were reduced by Partial Credit Rasch Model (PCRM) runs in a random split-half sample, while psychometric properties of the resulting measure were tested through confirmatory factor analysis (CFA), item response theory-graded response model and internal consistency reliability in the other half. Its reliability, construct and concurrent validity, agreement with the original scale, floor and ceiling effect, and scale estimates were further investigated in an external representative general population sample (n = 1925). Results The average age of the participants was around 41 years. Four PCRM re-runs for item selection resulted in a 6-item unidimensional Rapid PMHI (R-PMHI). CFA confirmed the unidimensional structure of the R-PMHI in the internal (RMSEA = 0.075, CFI = 0.985, TLI = 0.974) and external (RMSEA = 0.051, CFI = 0.992, TLI = 0.987) validation samples. In the external validation sample, the R-PMHI met concurrent validity criteria, showing high agreement with the 47-item version with intra-class correlation coefficient of 0.872 (95% CI: 0.861 to 0.882) and low floor and ceiling effects. Weight-adjusted mean (SE, 95% CI) R-PMHI score in the population was 4.86 (0.2, 4.82–4.90). Conclusion The unidimensional 6-item R-PMHI offers brevity over the original multidimensional measure while appropriately representing the positive mental health construct. Prospective studies are needed to assess its responsiveness and test-retest reliability.http://link.springer.com/article/10.1186/s12889-020-08569-wPartial Credit Rasch modelSplit-half sampleScale agreementMulti-ethnic
spellingShingle Janhavi Ajit Vaingankar
Edimansyah Abdin
Robertus Martinus van Dam
Siow Ann Chong
Linda Wei Lin Tan
Rajeswari Sambasivam
Esmond Seow
Boon Yiang Chua
Hwee Lin Wee
Wei Yen Lim
Mythily Subramaniam
Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
BMC Public Health
Partial Credit Rasch model
Split-half sample
Scale agreement
Multi-ethnic
title Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
title_full Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
title_fullStr Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
title_full_unstemmed Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
title_short Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population
title_sort development and validation of the rapid positive mental health instrument r pmhi for measuring mental health outcomes in the population
topic Partial Credit Rasch model
Split-half sample
Scale agreement
Multi-ethnic
url http://link.springer.com/article/10.1186/s12889-020-08569-w
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